Colin S. Cooper

The paper investigates DNA methylation differences in prostate cancer across African, European, and Asian ancestries, finding ancestry-driven methylation patterns linked to disease aggressiveness in African tumors.

This study identifies rare germline variants associated with metastatic prostate cancer using an extreme phenotype cohort and validates their functional impact.

The paper uses machine learning to identify distinct biological processes and druggable targets in early-onset prostate cancer compared to late-onset prostate cancer.

The paper cautions about the limitations of using microbial composition for tumor classification, highlighting issues with contamination, batch effects, false positives, and machine learning approaches.